GET https://dev.normadoc.fr/products/ieee-3333-1-3-2022-ieee00007136-243785

Response
200 OK
IP
216.73.216.149
Profiled on
Token
c70429

Forms

  • sylius_add_to_cart
    • cartItem
    • _token

sylius_add_to_cart

Form type: 
"Sylius\Bundle\CoreBundle\Form\Type\Order\AddToCartType"

Errors

This form has no errors.

Default Data

Property Value
Model Format same as normalized format
Normalized Format 
Sylius\Bundle\OrderBundle\Controller\AddToCartCommand {#108828
  -cart: App\Entity\Order\Order {#15354 …}
  -cartItem: App\Entity\Order\OrderItem {#108816
    #id: null
    #order: null
    #quantity: 1
    #unitPrice: 0
    #originalUnitPrice: 0
    #total: 0
    #immutable: false
    #units: Doctrine\Common\Collections\ArrayCollection {#108841 …}
    #unitsTotal: 0
    #adjustments: Doctrine\Common\Collections\ArrayCollection {#108840 …}
    #adjustmentsTotal: 0
    #version: 1
    #variant: App\Entity\Product\ProductVariant {#8932
      #id: 7631
      #code: "IEEE00007136PDF"
      #product: App\Entity\Product\Product {#7519
        #id: 12132
        #code: "IEEE00007136"
        #attributes: Doctrine\ORM\PersistentCollection {#8208 …}
        #variants: Doctrine\ORM\PersistentCollection {#8290 …}
        #options: Doctrine\ORM\PersistentCollection {#8629
          #collection: Doctrine\Common\Collections\ArrayCollection {#8619 …}
          #initialized: true
          -snapshot: [ …4]
          -owner: App\Entity\Product\Product {#7519}
          -association: [ …21]
          -em: ContainerHAOxQ06\EntityManagerGhostEbeb667 {#775 …}
          -backRefFieldName: null
          -typeClass: Symfony\Component\VarDumper\Caster\CutStub {#247604 …}
          -isDirty: false
        }
        #associations: Doctrine\ORM\PersistentCollection {#8586 …}
        #createdAt: DateTime @1751040219 {#7536
          date: 2025-06-27 18:03:39.0 Europe/Paris (+02:00)
        }
        #updatedAt: DateTime @1753970307 {#7535
          date: 2025-07-31 15:58:27.0 Europe/Paris (+02:00)
        }
        #enabled: true
        #translations: Doctrine\ORM\PersistentCollection {#8628 …}
        #translationsCache: [
          "en_US" => App\Entity\Product\ProductTranslation {#8613
            #locale: "en_US"
            #translatable: App\Entity\Product\Product {#7519}
            #id: 43537
            #name: "IEEE 3333.1.3:2022"
            #slug: "ieee-3333-1-3-2022-ieee00007136-243785"
            #description: """
              New IEEE Standard - Active.<br />\n
              Measuring quality of experience (QoE) aims to explore the factors that contribute to a user’s perceptual experience including human, system, and context factors. Since QoE stems from human interaction with various devices, the estimation should be started by investigating the mechanism of human visual perception. Therefore, measuring QoE is still a challenging task. In this standard, QoE assessment is categorized into two subcategories which are perceptual quality and virtual reality (VR) cybersickness. In addition, deep learning models considering human factors for various QoE assessments are covered, along with a reliable subjective test methodology and a database construction procedure.<br />\n
              \t\t\t\t<br />\n
              This standard defines deep learning-based metrics of content analysis and quality of experience (QoE) assessment for visual contents, which is an extension of the standard for the QoE and visual-comfort assessments of three-dimensional (3D) contents based on psychophysical studies (IEEE Std 3333.1.1) and the standard for the perceptual quality assessment of 3D and ultra-high definition (UHD) contents (IEEE Std 3333.1.2). The scope covers the following. * Deep learning models for QoE assessment (multilayer perceptrons, convolutional neural networks, deep generative models) * Deep metrics of visual experience from High Definition (HD), UHD, 3D, High Dynamic Range (HDR), Virtual Reality (VR) and Mixed Reality (MR) contents * Deep analysis of clinical (electroencephalogram (EEG), electrocardiogram (ECG), electrooculography (EOG), and so on) and psychophysical (subjective test and simulator sickness questionnaire (SSQ)) data for QoE assessment * Deep personalized preference assessment of visual contents * Building image and video databases for performance benchmarking purpose if necessary
              """
            #metaKeywords: null
            #metaDescription: null
            #shortDescription: "IEEE Standard for the Deep Learning-Based Assessment of Visual Experience Based on Human Factors"
            -notes: "Active"
          }
        ]
        #currentLocale: "en_US"
        #currentTranslation: null
        #fallbackLocale: "en_US"
        #variantSelectionMethod: "match"
        #productTaxons: Doctrine\ORM\PersistentCollection {#7944 …}
        #channels: Doctrine\ORM\PersistentCollection {#8105 …}
        #mainTaxon: Proxies\__CG__\App\Entity\Taxonomy\Taxon {#7518 …}
        #reviews: Doctrine\ORM\PersistentCollection {#8067 …}
        #averageRating: 0.0
        #images: Doctrine\ORM\PersistentCollection {#8119 …}
        -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#7682 …}
        -subscriptionCollections: Doctrine\ORM\PersistentCollection {#7747 …}
        -apiLastModifiedAt: DateTime @1743289200 {#7530
          date: 2025-03-30 00:00:00.0 Europe/Paris (+01:00)
        }
        -lastUpdatedAt: DateTime @1655676000 {#7496
          date: 2022-06-20 00:00:00.0 Europe/Paris (+02:00)
        }
        -author: ""
        -publishedAt: DateTime @1653602400 {#7531
          date: 2022-05-27 00:00:00.0 Europe/Paris (+02:00)
        }
        -releasedAt: null
        -confirmedAt: null
        -canceledAt: DateTime @1653602400 {#7521
          date: 2022-05-27 00:00:00.0 Europe/Paris (+02:00)
        }
        -edition: null
        -coreDocument: "3333.1.3"
        -bookCollection: ""
        -pageCount: 51
        -documents: Doctrine\ORM\PersistentCollection {#7787 …}
        -favorites: Doctrine\ORM\PersistentCollection {#7929 …}
      }
      #optionValues: Doctrine\ORM\PersistentCollection {#9324 …}
      #position: 0
      #createdAt: DateTime @1751041330 {#8958
        date: 2025-06-27 18:22:10.0 Europe/Paris (+02:00)
      }
      #updatedAt: DateTime @1755612026 {#8957
        date: 2025-08-19 16:00:26.0 Europe/Paris (+02:00)
      }
      #enabled: true
      #translations: Doctrine\ORM\PersistentCollection {#9245 …}
      #translationsCache: [
        "en_US" => App\Entity\Product\ProductVariantTranslation {#95231
          #locale: "en_US"
          #translatable: App\Entity\Product\ProductVariant {#8932}
          #id: 7664
          #name: null
          -shortDescription: null
          -description: null
          -notes: null
          -shippingInformation: "Instant download"
        }
      ]
      #currentLocale: "en_US"
      #currentTranslation: null
      #fallbackLocale: "en_US"
      #version: 9
      #onHold: 0
      #onHand: 0
      #tracked: false
      #weight: 0.0
      #width: null
      #height: null
      #depth: null
      #taxCategory: Proxies\__CG__\App\Entity\Taxation\TaxCategory {#8962 …}
      #shippingCategory: null
      #channelPricings: Doctrine\ORM\PersistentCollection {#9325 …}
      #shippingRequired: true
      #images: Doctrine\ORM\PersistentCollection {#9253 …}
      -apiLastModifiedAt: DateTime @1753740000 {#8952
        date: 2025-07-29 00:00:00.0 Europe/Paris (+02:00)
      }
      -publishedAt: null
      -isbn: "978-1-5044-8442-8"
      -ean: "9781504484428"
      -numberOfUsers: 1
      -physicalProduct: false
      -downloadableImmediately: true
      -downloadable: true
      -drmViewerUrl: "https://online-viewer.normadoc.com/TVR4xu"
      -sellable: true
      -documents: Doctrine\ORM\PersistentCollection {#8963 …}
      -drmTokens: Doctrine\ORM\PersistentCollection {#9182 …}
      -enabledForSubscribers: true
      -currentAreaContext: null
    }
    #productName: null
    #variantName: null
  }
}
View Format same as normalized format

Submitted Data

This form was not submitted.

Passed Options

Option Passed Value Resolved Value
data 
Sylius\Bundle\OrderBundle\Controller\AddToCartCommand {#108828
  -cart: App\Entity\Order\Order {#15354 …}
  -cartItem: App\Entity\Order\OrderItem {#108816
    #id: null
    #order: null
    #quantity: 1
    #unitPrice: 0
    #originalUnitPrice: 0
    #total: 0
    #immutable: false
    #units: Doctrine\Common\Collections\ArrayCollection {#108841 …}
    #unitsTotal: 0
    #adjustments: Doctrine\Common\Collections\ArrayCollection {#108840 …}
    #adjustmentsTotal: 0
    #version: 1
    #variant: App\Entity\Product\ProductVariant {#8932
      #id: 7631
      #code: "IEEE00007136PDF"
      #product: App\Entity\Product\Product {#7519
        #id: 12132
        #code: "IEEE00007136"
        #attributes: Doctrine\ORM\PersistentCollection {#8208 …}
        #variants: Doctrine\ORM\PersistentCollection {#8290 …}
        #options: Doctrine\ORM\PersistentCollection {#8629
          #collection: Doctrine\Common\Collections\ArrayCollection {#8619 …}
          #initialized: true
          -snapshot: [ …4]
          -owner: App\Entity\Product\Product {#7519}
          -association: [ …21]
          -em: ContainerHAOxQ06\EntityManagerGhostEbeb667 {#775 …}
          -backRefFieldName: null
          -typeClass: Symfony\Component\VarDumper\Caster\CutStub {#247604 …}
          -isDirty: false
        }
        #associations: Doctrine\ORM\PersistentCollection {#8586 …}
        #createdAt: DateTime @1751040219 {#7536
          date: 2025-06-27 18:03:39.0 Europe/Paris (+02:00)
        }
        #updatedAt: DateTime @1753970307 {#7535
          date: 2025-07-31 15:58:27.0 Europe/Paris (+02:00)
        }
        #enabled: true
        #translations: Doctrine\ORM\PersistentCollection {#8628 …}
        #translationsCache: [
          "en_US" => App\Entity\Product\ProductTranslation {#8613
            #locale: "en_US"
            #translatable: App\Entity\Product\Product {#7519}
            #id: 43537
            #name: "IEEE 3333.1.3:2022"
            #slug: "ieee-3333-1-3-2022-ieee00007136-243785"
            #description: """
              New IEEE Standard - Active.<br />\n
              Measuring quality of experience (QoE) aims to explore the factors that contribute to a user’s perceptual experience including human, system, and context factors. Since QoE stems from human interaction with various devices, the estimation should be started by investigating the mechanism of human visual perception. Therefore, measuring QoE is still a challenging task. In this standard, QoE assessment is categorized into two subcategories which are perceptual quality and virtual reality (VR) cybersickness. In addition, deep learning models considering human factors for various QoE assessments are covered, along with a reliable subjective test methodology and a database construction procedure.<br />\n
              \t\t\t\t<br />\n
              This standard defines deep learning-based metrics of content analysis and quality of experience (QoE) assessment for visual contents, which is an extension of the standard for the QoE and visual-comfort assessments of three-dimensional (3D) contents based on psychophysical studies (IEEE Std 3333.1.1) and the standard for the perceptual quality assessment of 3D and ultra-high definition (UHD) contents (IEEE Std 3333.1.2). The scope covers the following. * Deep learning models for QoE assessment (multilayer perceptrons, convolutional neural networks, deep generative models) * Deep metrics of visual experience from High Definition (HD), UHD, 3D, High Dynamic Range (HDR), Virtual Reality (VR) and Mixed Reality (MR) contents * Deep analysis of clinical (electroencephalogram (EEG), electrocardiogram (ECG), electrooculography (EOG), and so on) and psychophysical (subjective test and simulator sickness questionnaire (SSQ)) data for QoE assessment * Deep personalized preference assessment of visual contents * Building image and video databases for performance benchmarking purpose if necessary
              """
            #metaKeywords: null
            #metaDescription: null
            #shortDescription: "IEEE Standard for the Deep Learning-Based Assessment of Visual Experience Based on Human Factors"
            -notes: "Active"
          }
        ]
        #currentLocale: "en_US"
        #currentTranslation: null
        #fallbackLocale: "en_US"
        #variantSelectionMethod: "match"
        #productTaxons: Doctrine\ORM\PersistentCollection {#7944 …}
        #channels: Doctrine\ORM\PersistentCollection {#8105 …}
        #mainTaxon: Proxies\__CG__\App\Entity\Taxonomy\Taxon {#7518 …}
        #reviews: Doctrine\ORM\PersistentCollection {#8067 …}
        #averageRating: 0.0
        #images: Doctrine\ORM\PersistentCollection {#8119 …}
        -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#7682 …}
        -subscriptionCollections: Doctrine\ORM\PersistentCollection {#7747 …}
        -apiLastModifiedAt: DateTime @1743289200 {#7530
          date: 2025-03-30 00:00:00.0 Europe/Paris (+01:00)
        }
        -lastUpdatedAt: DateTime @1655676000 {#7496
          date: 2022-06-20 00:00:00.0 Europe/Paris (+02:00)
        }
        -author: ""
        -publishedAt: DateTime @1653602400 {#7531
          date: 2022-05-27 00:00:00.0 Europe/Paris (+02:00)
        }
        -releasedAt: null
        -confirmedAt: null
        -canceledAt: DateTime @1653602400 {#7521
          date: 2022-05-27 00:00:00.0 Europe/Paris (+02:00)
        }
        -edition: null
        -coreDocument: "3333.1.3"
        -bookCollection: ""
        -pageCount: 51
        -documents: Doctrine\ORM\PersistentCollection {#7787 …}
        -favorites: Doctrine\ORM\PersistentCollection {#7929 …}
      }
      #optionValues: Doctrine\ORM\PersistentCollection {#9324 …}
      #position: 0
      #createdAt: DateTime @1751041330 {#8958
        date: 2025-06-27 18:22:10.0 Europe/Paris (+02:00)
      }
      #updatedAt: DateTime @1755612026 {#8957
        date: 2025-08-19 16:00:26.0 Europe/Paris (+02:00)
      }
      #enabled: true
      #translations: Doctrine\ORM\PersistentCollection {#9245 …}
      #translationsCache: [
        "en_US" => App\Entity\Product\ProductVariantTranslation {#95231
          #locale: "en_US"
          #translatable: App\Entity\Product\ProductVariant {#8932}
          #id: 7664
          #name: null
          -shortDescription: null
          -description: null
          -notes: null
          -shippingInformation: "Instant download"
        }
      ]
      #currentLocale: "en_US"
      #currentTranslation: null
      #fallbackLocale: "en_US"
      #version: 9
      #onHold: 0
      #onHand: 0
      #tracked: false
      #weight: 0.0
      #width: null
      #height: null
      #depth: null
      #taxCategory: Proxies\__CG__\App\Entity\Taxation\TaxCategory {#8962 …}
      #shippingCategory: null
      #channelPricings: Doctrine\ORM\PersistentCollection {#9325 …}
      #shippingRequired: true
      #images: Doctrine\ORM\PersistentCollection {#9253 …}
      -apiLastModifiedAt: DateTime @1753740000 {#8952
        date: 2025-07-29 00:00:00.0 Europe/Paris (+02:00)
      }
      -publishedAt: null
      -isbn: "978-1-5044-8442-8"
      -ean: "9781504484428"
      -numberOfUsers: 1
      -physicalProduct: false
      -downloadableImmediately: true
      -downloadable: true
      -drmViewerUrl: "https://online-viewer.normadoc.com/TVR4xu"
      -sellable: true
      -documents: Doctrine\ORM\PersistentCollection {#8963 …}
      -drmTokens: Doctrine\ORM\PersistentCollection {#9182 …}
      -enabledForSubscribers: true
      -currentAreaContext: null
    }
    #productName: null
    #variantName: null
  }
}
 same as passed value
product 
App\Entity\Product\Product {#7519
  #id: 12132
  #code: "IEEE00007136"
  #attributes: Doctrine\ORM\PersistentCollection {#8208 …}
  #variants: Doctrine\ORM\PersistentCollection {#8290 …}
  #options: Doctrine\ORM\PersistentCollection {#8629
    #collection: Doctrine\Common\Collections\ArrayCollection {#8619 …}
    #initialized: true
    -snapshot: [ …4]
    -owner: App\Entity\Product\Product {#7519}
    -association: [ …21]
    -em: ContainerHAOxQ06\EntityManagerGhostEbeb667 {#775 …}
    -backRefFieldName: null
    -typeClass: Symfony\Component\VarDumper\Caster\CutStub {#247604 …}
    -isDirty: false
  }
  #associations: Doctrine\ORM\PersistentCollection {#8586 …}
  #createdAt: DateTime @1751040219 {#7536
    date: 2025-06-27 18:03:39.0 Europe/Paris (+02:00)
  }
  #updatedAt: DateTime @1753970307 {#7535
    date: 2025-07-31 15:58:27.0 Europe/Paris (+02:00)
  }
  #enabled: true
  #translations: Doctrine\ORM\PersistentCollection {#8628 …}
  #translationsCache: [
    "en_US" => App\Entity\Product\ProductTranslation {#8613
      #locale: "en_US"
      #translatable: App\Entity\Product\Product {#7519}
      #id: 43537
      #name: "IEEE 3333.1.3:2022"
      #slug: "ieee-3333-1-3-2022-ieee00007136-243785"
      #description: """
        New IEEE Standard - Active.<br />\n
        Measuring quality of experience (QoE) aims to explore the factors that contribute to a user’s perceptual experience including human, system, and context factors. Since QoE stems from human interaction with various devices, the estimation should be started by investigating the mechanism of human visual perception. Therefore, measuring QoE is still a challenging task. In this standard, QoE assessment is categorized into two subcategories which are perceptual quality and virtual reality (VR) cybersickness. In addition, deep learning models considering human factors for various QoE assessments are covered, along with a reliable subjective test methodology and a database construction procedure.<br />\n
        \t\t\t\t<br />\n
        This standard defines deep learning-based metrics of content analysis and quality of experience (QoE) assessment for visual contents, which is an extension of the standard for the QoE and visual-comfort assessments of three-dimensional (3D) contents based on psychophysical studies (IEEE Std 3333.1.1) and the standard for the perceptual quality assessment of 3D and ultra-high definition (UHD) contents (IEEE Std 3333.1.2). The scope covers the following. * Deep learning models for QoE assessment (multilayer perceptrons, convolutional neural networks, deep generative models) * Deep metrics of visual experience from High Definition (HD), UHD, 3D, High Dynamic Range (HDR), Virtual Reality (VR) and Mixed Reality (MR) contents * Deep analysis of clinical (electroencephalogram (EEG), electrocardiogram (ECG), electrooculography (EOG), and so on) and psychophysical (subjective test and simulator sickness questionnaire (SSQ)) data for QoE assessment * Deep personalized preference assessment of visual contents * Building image and video databases for performance benchmarking purpose if necessary
        """
      #metaKeywords: null
      #metaDescription: null
      #shortDescription: "IEEE Standard for the Deep Learning-Based Assessment of Visual Experience Based on Human Factors"
      -notes: "Active"
    }
  ]
  #currentLocale: "en_US"
  #currentTranslation: null
  #fallbackLocale: "en_US"
  #variantSelectionMethod: "match"
  #productTaxons: Doctrine\ORM\PersistentCollection {#7944 …}
  #channels: Doctrine\ORM\PersistentCollection {#8105 …}
  #mainTaxon: Proxies\__CG__\App\Entity\Taxonomy\Taxon {#7518 …}
  #reviews: Doctrine\ORM\PersistentCollection {#8067 …}
  #averageRating: 0.0
  #images: Doctrine\ORM\PersistentCollection {#8119 …}
  -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#7682 …}
  -subscriptionCollections: Doctrine\ORM\PersistentCollection {#7747 …}
  -apiLastModifiedAt: DateTime @1743289200 {#7530
    date: 2025-03-30 00:00:00.0 Europe/Paris (+01:00)
  }
  -lastUpdatedAt: DateTime @1655676000 {#7496
    date: 2022-06-20 00:00:00.0 Europe/Paris (+02:00)
  }
  -author: ""
  -publishedAt: DateTime @1653602400 {#7531
    date: 2022-05-27 00:00:00.0 Europe/Paris (+02:00)
  }
  -releasedAt: null
  -confirmedAt: null
  -canceledAt: DateTime @1653602400 {#7521
    date: 2022-05-27 00:00:00.0 Europe/Paris (+02:00)
  }
  -edition: null
  -coreDocument: "3333.1.3"
  -bookCollection: ""
  -pageCount: 51
  -documents: Doctrine\ORM\PersistentCollection {#7787 …}
  -favorites: Doctrine\ORM\PersistentCollection {#7929 …}
}
 same as passed value

Resolved Options

Option Value
action 
""
allow_extra_fields 
false
allow_file_upload 
false
attr 
[]
attr_translation_parameters 
[]
auto_initialize 
true
block_name 
null
block_prefix 
null
by_reference 
true
compound 
true
constraints 
[]
csrf_field_name 
"_token"
csrf_message 
"The CSRF token is invalid. Please try to resubmit the form."
csrf_protection 
true
csrf_token_id 
null
csrf_token_manager 
Symfony\Component\Security\Csrf\CsrfTokenManager {#108848
  -generator: Symfony\Component\Security\Csrf\TokenGenerator\UriSafeTokenGenerator {#108849 …}
  -storage: Symfony\Component\Security\Csrf\TokenStorage\SessionTokenStorage {#108850 …}
  -namespace: Closure() {#108852 …}
}
data 
Sylius\Bundle\OrderBundle\Controller\AddToCartCommand {#108828
  -cart: App\Entity\Order\Order {#15354 …}
  -cartItem: App\Entity\Order\OrderItem {#108816
    #id: null
    #order: null
    #quantity: 1
    #unitPrice: 0
    #originalUnitPrice: 0
    #total: 0
    #immutable: false
    #units: Doctrine\Common\Collections\ArrayCollection {#108841 …}
    #unitsTotal: 0
    #adjustments: Doctrine\Common\Collections\ArrayCollection {#108840 …}
    #adjustmentsTotal: 0
    #version: 1
    #variant: App\Entity\Product\ProductVariant {#8932
      #id: 7631
      #code: "IEEE00007136PDF"
      #product: App\Entity\Product\Product {#7519
        #id: 12132
        #code: "IEEE00007136"
        #attributes: Doctrine\ORM\PersistentCollection {#8208 …}
        #variants: Doctrine\ORM\PersistentCollection {#8290 …}
        #options: Doctrine\ORM\PersistentCollection {#8629
          #collection: Doctrine\Common\Collections\ArrayCollection {#8619 …}
          #initialized: true
          -snapshot: [ …4]
          -owner: App\Entity\Product\Product {#7519}
          -association: [ …21]
          -em: ContainerHAOxQ06\EntityManagerGhostEbeb667 {#775 …}
          -backRefFieldName: null
          -typeClass: Symfony\Component\VarDumper\Caster\CutStub {#247604 …}
          -isDirty: false
        }
        #associations: Doctrine\ORM\PersistentCollection {#8586 …}
        #createdAt: DateTime @1751040219 {#7536
          date: 2025-06-27 18:03:39.0 Europe/Paris (+02:00)
        }
        #updatedAt: DateTime @1753970307 {#7535
          date: 2025-07-31 15:58:27.0 Europe/Paris (+02:00)
        }
        #enabled: true
        #translations: Doctrine\ORM\PersistentCollection {#8628 …}
        #translationsCache: [
          "en_US" => App\Entity\Product\ProductTranslation {#8613
            #locale: "en_US"
            #translatable: App\Entity\Product\Product {#7519}
            #id: 43537
            #name: "IEEE 3333.1.3:2022"
            #slug: "ieee-3333-1-3-2022-ieee00007136-243785"
            #description: """
              New IEEE Standard - Active.<br />\n
              Measuring quality of experience (QoE) aims to explore the factors that contribute to a user’s perceptual experience including human, system, and context factors. Since QoE stems from human interaction with various devices, the estimation should be started by investigating the mechanism of human visual perception. Therefore, measuring QoE is still a challenging task. In this standard, QoE assessment is categorized into two subcategories which are perceptual quality and virtual reality (VR) cybersickness. In addition, deep learning models considering human factors for various QoE assessments are covered, along with a reliable subjective test methodology and a database construction procedure.<br />\n
              \t\t\t\t<br />\n
              This standard defines deep learning-based metrics of content analysis and quality of experience (QoE) assessment for visual contents, which is an extension of the standard for the QoE and visual-comfort assessments of three-dimensional (3D) contents based on psychophysical studies (IEEE Std 3333.1.1) and the standard for the perceptual quality assessment of 3D and ultra-high definition (UHD) contents (IEEE Std 3333.1.2). The scope covers the following. * Deep learning models for QoE assessment (multilayer perceptrons, convolutional neural networks, deep generative models) * Deep metrics of visual experience from High Definition (HD), UHD, 3D, High Dynamic Range (HDR), Virtual Reality (VR) and Mixed Reality (MR) contents * Deep analysis of clinical (electroencephalogram (EEG), electrocardiogram (ECG), electrooculography (EOG), and so on) and psychophysical (subjective test and simulator sickness questionnaire (SSQ)) data for QoE assessment * Deep personalized preference assessment of visual contents * Building image and video databases for performance benchmarking purpose if necessary
              """
            #metaKeywords: null
            #metaDescription: null
            #shortDescription: "IEEE Standard for the Deep Learning-Based Assessment of Visual Experience Based on Human Factors"
            -notes: "Active"
          }
        ]
        #currentLocale: "en_US"
        #currentTranslation: null
        #fallbackLocale: "en_US"
        #variantSelectionMethod: "match"
        #productTaxons: Doctrine\ORM\PersistentCollection {#7944 …}
        #channels: Doctrine\ORM\PersistentCollection {#8105 …}
        #mainTaxon: Proxies\__CG__\App\Entity\Taxonomy\Taxon {#7518 …}
        #reviews: Doctrine\ORM\PersistentCollection {#8067 …}
        #averageRating: 0.0
        #images: Doctrine\ORM\PersistentCollection {#8119 …}
        -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#7682 …}
        -subscriptionCollections: Doctrine\ORM\PersistentCollection {#7747 …}
        -apiLastModifiedAt: DateTime @1743289200 {#7530
          date: 2025-03-30 00:00:00.0 Europe/Paris (+01:00)
        }
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      #translatable: App\Entity\Product\Product {#7519}
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        \t\t\t\t<br />\n
        This standard defines deep learning-based metrics of content analysis and quality of experience (QoE) assessment for visual contents, which is an extension of the standard for the QoE and visual-comfort assessments of three-dimensional (3D) contents based on psychophysical studies (IEEE Std 3333.1.1) and the standard for the perceptual quality assessment of 3D and ultra-high definition (UHD) contents (IEEE Std 3333.1.2). The scope covers the following. * Deep learning models for QoE assessment (multilayer perceptrons, convolutional neural networks, deep generative models) * Deep metrics of visual experience from High Definition (HD), UHD, 3D, High Dynamic Range (HDR), Virtual Reality (VR) and Mixed Reality (MR) contents * Deep analysis of clinical (electroencephalogram (EEG), electrocardiogram (ECG), electrooculography (EOG), and so on) and psychophysical (subjective test and simulator sickness questionnaire (SSQ)) data for QoE assessment * Deep personalized preference assessment of visual contents * Building image and video databases for performance benchmarking purpose if necessary
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  #reviews: Doctrine\ORM\PersistentCollection {#8067 …}
  #averageRating: 0.0
  #images: Doctrine\ORM\PersistentCollection {#8119 …}
  -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#7682 …}
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null
required 
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row_attr 
[]
setter 
null
translation_domain 
null
trim 
true
upload_max_size_message 
Closure() {#108877
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    $message: Closure() {#108876 …}
    $translationDomain: "validators"
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""
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true
data 
Sylius\Bundle\OrderBundle\Controller\AddToCartCommand {#108828
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      }
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      #translationsCache: [
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      -downloadable: true
      -drmViewerUrl: "https://online-viewer.normadoc.com/TVR4xu"
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      -drmTokens: Doctrine\ORM\PersistentCollection {#9182 …}
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}
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errors 
Symfony\Component\Form\FormErrorIterator {#108898
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}
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Symfony\Component\Form\FormView {#108878 …5}
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label_translation_parameters 
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multipart 
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translation_domain 
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valid 
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value 
Sylius\Bundle\OrderBundle\Controller\AddToCartCommand {#108828
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    #order: null
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              New IEEE Standard - Active.<br />\n
              Measuring quality of experience (QoE) aims to explore the factors that contribute to a user’s perceptual experience including human, system, and context factors. Since QoE stems from human interaction with various devices, the estimation should be started by investigating the mechanism of human visual perception. Therefore, measuring QoE is still a challenging task. In this standard, QoE assessment is categorized into two subcategories which are perceptual quality and virtual reality (VR) cybersickness. In addition, deep learning models considering human factors for various QoE assessments are covered, along with a reliable subjective test methodology and a database construction procedure.<br />\n
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              This standard defines deep learning-based metrics of content analysis and quality of experience (QoE) assessment for visual contents, which is an extension of the standard for the QoE and visual-comfort assessments of three-dimensional (3D) contents based on psychophysical studies (IEEE Std 3333.1.1) and the standard for the perceptual quality assessment of 3D and ultra-high definition (UHD) contents (IEEE Std 3333.1.2). The scope covers the following. * Deep learning models for QoE assessment (multilayer perceptrons, convolutional neural networks, deep generative models) * Deep metrics of visual experience from High Definition (HD), UHD, 3D, High Dynamic Range (HDR), Virtual Reality (VR) and Mixed Reality (MR) contents * Deep analysis of clinical (electroencephalogram (EEG), electrocardiogram (ECG), electrooculography (EOG), and so on) and psychophysical (subjective test and simulator sickness questionnaire (SSQ)) data for QoE assessment * Deep personalized preference assessment of visual contents * Building image and video databases for performance benchmarking purpose if necessary
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            #metaKeywords: null
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        ]
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        #variantSelectionMethod: "match"
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        #reviews: Doctrine\ORM\PersistentCollection {#8067 …}
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        #images: Doctrine\ORM\PersistentCollection {#8119 …}
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        -subscriptionCollections: Doctrine\ORM\PersistentCollection {#7747 …}
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        -favorites: Doctrine\ORM\PersistentCollection {#7929 …}
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      }
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      }
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}